Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	145460
Missing cells	3268
Missing cells (%)	0.1%
Duplicate rows	6
Duplicate rows (%)	< 0.1%
Total size in memory	26.6 MiB
Average record size in memory	192.0 B

Variable types

Categorical	4
Numeric	18
Boolean	2

Alerts

Dataset has 6 (< 0.1%) duplicate rows	Duplicates
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Evaporation` is highly correlated with `Sunshine`	High correlation
`Sunshine` is highly correlated with `Evaporation`	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Humidity9am` is highly correlated with `Humidity3pm`	High correlation
`Humidity3pm` is highly correlated with `Humidity9am` and 1 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Cloud3pm`	High correlation
`Cloud3pm` is highly correlated with `Cloud9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 3 other fields	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 4 other fields	High correlation
`Evaporation` is highly correlated with `Sunshine`	High correlation
`Sunshine` is highly correlated with `Evaporation`	High correlation
`WindGustSpeed` is highly correlated with `WindSpeed9am` and 1 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed` and 1 other fields	High correlation
`Humidity9am` is highly correlated with `MaxTemp` and 1 other fields	High correlation
`Humidity3pm` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Cloud3pm`	High correlation
`Cloud3pm` is highly correlated with `Cloud9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 3 other fields	High correlation
`MinTemp` is highly correlated with `MaxTemp` and 2 other fields	High correlation
`MaxTemp` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Evaporation` is highly correlated with `Sunshine`	High correlation
`Sunshine` is highly correlated with `Evaporation`	High correlation
`Pressure9am` is highly correlated with `Pressure3pm`	High correlation
`Pressure3pm` is highly correlated with `Pressure9am`	High correlation
`Cloud9am` is highly correlated with `Cloud3pm`	High correlation
`Cloud3pm` is highly correlated with `Cloud9am`	High correlation
`Temp9am` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Temp3pm` is highly correlated with `MinTemp` and 2 other fields	High correlation
`Location` is highly correlated with `MinTemp` and 14 other fields	High correlation
`MinTemp` is highly correlated with `Location` and 4 other fields	High correlation
`MaxTemp` is highly correlated with `Location` and 6 other fields	High correlation
`Sunshine` is highly correlated with `Location` and 2 other fields	High correlation
`WindGustDir` is highly correlated with `Location` and 2 other fields	High correlation
`WindGustSpeed` is highly correlated with `Location` and 2 other fields	High correlation
`WindDir9am` is highly correlated with `Location` and 2 other fields	High correlation
`WindDir3pm` is highly correlated with `Location` and 2 other fields	High correlation
`WindSpeed9am` is highly correlated with `WindGustSpeed`	High correlation
`WindSpeed3pm` is highly correlated with `WindGustSpeed`	High correlation
`Humidity9am` is highly correlated with `Location` and 4 other fields	High correlation
`Humidity3pm` is highly correlated with `Location` and 4 other fields	High correlation
`Pressure9am` is highly correlated with `Location` and 1 other fields	High correlation
`Pressure3pm` is highly correlated with `Location` and 1 other fields	High correlation
`Cloud9am` is highly correlated with `Location` and 2 other fields	High correlation
`Cloud3pm` is highly correlated with `Location` and 2 other fields	High correlation
`Temp9am` is highly correlated with `Location` and 5 other fields	High correlation
`Temp3pm` is highly correlated with `Location` and 6 other fields	High correlation
`RainTomorrow` is highly correlated with `Humidity3pm`	High correlation
`Month` is highly correlated with `MinTemp` and 3 other fields	High correlation
`RainTomorrow` has 3267 (2.2%) missing values	Missing
`Rainfall` has 94341 (64.9%) zeros	Zeros
`Evaporation` has 46979 (32.3%) zeros	Zeros
`Sunshine` has 55528 (38.2%) zeros	Zeros
`WindGustSpeed` has 6079 (4.2%) zeros	Zeros
`WindSpeed9am` has 8745 (6.0%) zeros	Zeros
`Pressure9am` has 12119 (8.3%) zeros	Zeros
`Pressure3pm` has 12119 (8.3%) zeros	Zeros
`Cloud9am` has 43609 (30.0%) zeros	Zeros
`Cloud3pm` has 39941 (27.5%) zeros	Zeros

Reproduction

Analysis started	2021-12-18 13:56:55.774620
Analysis finished	2021-12-18 13:58:08.261240
Duration	1 minute and 12.49 seconds
Software version	pandas-profiling v3.1.0
Download configuration	config.json

Location
Categorical

HIGH CORRELATION

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

Canberra	3436
Sydney	3344
Darwin	3193
Melbourne	3193
Brisbane	3193
Other values (44)	129101

Length

Max length	16
Median length	8
Mean length	8.711625189
Min length	4

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Albury
2nd row	Albury
3rd row	Albury
4th row	Albury
5th row	Albury

Common Values

Value	Count	Frequency (%)
Canberra	3436	2.4%
Sydney	3344	2.3%
Darwin	3193	2.2%
Melbourne	3193	2.2%
Brisbane	3193	2.2%
Adelaide	3193	2.2%
Perth	3193	2.2%
Hobart	3193	2.2%
Albany	3040	2.1%
MountGambier	3040	2.1%
Other values (39)	113442	78.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
canberra	3436	2.4%
sydney	3344	2.3%
darwin	3193	2.2%
melbourne	3193	2.2%
brisbane	3193	2.2%
adelaide	3193	2.2%
perth	3193	2.2%
hobart	3193	2.2%
launceston	3040	2.1%
wollongong	3040	2.1%
Other values (39)	113442	78.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

MinTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	582
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	12.197524

Minimum	-8.5
Maximum	33.9
Zeros	159
Zeros (%)	0.1%
Negative	3496
Negative (%)	2.4%
Memory size	1.1 MiB

Quantile statistics

Minimum	-8.5
5-th percentile	1.8
Q1	7.6
median	12
Q3	16.8
95-th percentile	23
Maximum	33.9
Range	42.4
Interquartile range (IQR)	9.2

Descriptive statistics

Standard deviation	6.385999383
Coefficient of variation (CV)	0.5235488272
Kurtosis	-0.4769970543
Mean	12.197524
Median Absolute Deviation (MAD)	4.6
Skewness	0.01888407296
Sum	1774251.84
Variance	40.78098812
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
11	899	0.6%
10.2	898	0.6%
9.6	896	0.6%
10.5	884	0.6%
10.8	872	0.6%
9	872	0.6%
10	871	0.6%
12	866	0.6%
8.9	861	0.6%
10.4	860	0.6%
Other values (572)	136681	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-8.5	1	< 0.1%
-8.2	2	< 0.1%
-8	2	< 0.1%
-7.8	1	< 0.1%
-7.6	2	< 0.1%
-7.5	2	< 0.1%
-7.3	1	< 0.1%
-7.2	1	< 0.1%
-7.1	1	< 0.1%
-7	7	< 0.1%

Value	Count	Frequency (%)
33.9	1	< 0.1%
31.9	1	< 0.1%
31.8	1	< 0.1%
31.4	3	< 0.1%
31.2	1	< 0.1%
31	1	< 0.1%
30.7	2	< 0.1%
30.5	1	< 0.1%
30.3	1	< 0.1%
30.2	1	< 0.1%

MaxTemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	690
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	23.21847574

Minimum	-4.8
Maximum	48.1
Zeros	14
Zeros (%)	< 0.1%
Negative	113
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-4.8
5-th percentile	12.9
Q1	17.9
median	22.6
Q3	28.2
95-th percentile	35.5
Maximum	48.1
Range	52.9
Interquartile range (IQR)	10.3

Descriptive statistics

Standard deviation	7.10806124
Coefficient of variation (CV)	0.3061381513
Kurtosis	-0.2174600328
Mean	23.21847574
Median Absolute Deviation (MAD)	5.1
Skewness	0.2190530828
Sum	3377359.482
Variance	50.52453459
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	885	0.6%
19	843	0.6%
19.8	840	0.6%
20.4	834	0.6%
19.9	823	0.6%
20.8	817	0.6%
19.5	812	0.6%
18.5	811	0.6%
21	810	0.6%
18.2	804	0.6%
Other values (680)	137181	94.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-4.8	1	< 0.1%
-4.1	1	< 0.1%
-3.8	1	< 0.1%
-3.7	1	< 0.1%
-3.2	1	< 0.1%
-3.1	2	< 0.1%
-3	1	< 0.1%
-2.9	1	< 0.1%
-2.7	1	< 0.1%
-2.5	2	< 0.1%

Value	Count	Frequency (%)
48.1	1	< 0.1%
47.3	2	< 0.1%
47	1	< 0.1%
46.9	1	< 0.1%
46.8	3	< 0.1%
46.7	2	< 0.1%
46.6	1	< 0.1%
46.5	1	< 0.1%
46.4	4	< 0.1%
46.3	2	< 0.1%

Rainfall
Real number (ℝ_≥0)

ZEROS

Distinct	681
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.307989825

Minimum	0
Maximum	371
Zeros	94341
Zeros (%)	64.9%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0.6
95-th percentile	12.8
Maximum	371
Range	371
Interquartile range (IQR)	0.6

Descriptive statistics

Standard deviation	8.389770949
Coefficient of variation (CV)	3.635098759
Kurtosis	181.9143571
Mean	2.307989825
Median Absolute Deviation (MAD)	0
Skewness	9.940909034
Sum	335720.2
Variance	70.38825658
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	94341	64.9%
0.2	8761	6.0%
0.4	3782	2.6%
0.6	2592	1.8%
0.8	2056	1.4%
1	1759	1.2%
1.2	1535	1.1%
1.4	1377	0.9%
1.6	1200	0.8%
1.8	1104	0.8%
Other values (671)	26953	18.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	94341	64.9%
0.1	157	0.1%
0.2	8761	6.0%
0.3	65	< 0.1%
0.4	3782	2.6%
0.5	39	< 0.1%
0.6	2592	1.8%
0.7	13	< 0.1%
0.8	2056	1.4%
0.9	15	< 0.1%

Value	Count	Frequency (%)
371	1	< 0.1%
367.6	1	< 0.1%
278.4	1	< 0.1%
268.6	1	< 0.1%
247.2	1	< 0.1%
240	1	< 0.1%
236.8	1	< 0.1%
225	1	< 0.1%
219.6	1	< 0.1%
216.3	1	< 0.1%

Evaporation
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	653
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.682469675

Minimum	0
Maximum	145
Zeros	46979
Zeros (%)	32.3%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2.8
Q3	6
95-th percentile	10.86038647
Maximum	145
Range	145
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	4.177571766
Coefficient of variation (CV)	1.134448383
Kurtosis	29.5047812
Mean	3.682469675
Median Absolute Deviation (MAD)	2.8
Skewness	2.832390787
Sum	535652.0389
Variance	17.45210586
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	46979	32.3%
4	3339	2.3%
8	2609	1.8%
2.2	2095	1.4%
2	2032	1.4%
2.6	2003	1.4%
2.4	2003	1.4%
1.8	1979	1.4%
3	1973	1.4%
3.4	1967	1.4%
Other values (643)	78481	54.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46979	32.3%
0.1	8	< 0.1%
0.2	503	0.3%
0.3	10	< 0.1%
0.4	769	0.5%
0.5	14	< 0.1%
0.6	1097	0.8%
0.7	24	< 0.1%
0.8	1384	1.0%
0.9	28	< 0.1%

Value	Count	Frequency (%)
145	1	< 0.1%
86.2	1	< 0.1%
82.4	1	< 0.1%
81.2	1	< 0.1%
77.3	1	< 0.1%
74.8	1	< 0.1%
72.2	1	< 0.1%
70.4	1	< 0.1%
70	1	< 0.1%
68.8	2	< 0.1%

Sunshine
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	395
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.839923976

Minimum	0
Maximum	14.5
Zeros	55528
Zeros (%)	38.2%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	4.8
Q3	9.140909091
95-th percentile	12.1
Maximum	14.5
Range	14.5
Interquartile range (IQR)	9.140909091

Descriptive statistics

Standard deviation	4.610834461
Coefficient of variation (CV)	0.952666712
Kurtosis	-1.504265488
Mean	4.839923976
Median Absolute Deviation (MAD)	4.8
Skewness	0.2339436017
Sum	704015.3416
Variance	21.25979443
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	55528	38.2%
10.7	1101	0.8%
11	1094	0.8%
10.8	1069	0.7%
10.5	1027	0.7%
10.9	1021	0.7%
10.3	1010	0.7%
10.2	993	0.7%
10	984	0.7%
11.1	978	0.7%
Other values (385)	80655	55.4%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	55528	38.2%
0.1	542	0.4%
0.2	521	0.4%
0.3	433	0.3%
0.4	326	0.2%
0.5	322	0.2%
0.6	298	0.2%
0.7	344	0.2%
0.8	320	0.2%
0.9	323	0.2%

Value	Count	Frequency (%)
14.5	1	< 0.1%
14.3	4	< 0.1%
14.2	2	< 0.1%
14.1	6	< 0.1%
14	15	< 0.1%
13.9	22	< 0.1%
13.8	60	< 0.1%
13.7	118	0.1%
13.6	181	0.1%
13.5	183	0.1%

WindGustDir
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	1
Missing (%)	< 0.1%
Memory size	1.1 MiB

SSE	13367
SSW	11952
W	10112
SE	9602
SW	9486
Other values (11)	90940

Length

Max length	3
Median length	2
Mean length	2.235385916
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	WNW
3rd row	WSW
4th row	NE
5th row	W

Common Values

Value	Count	Frequency (%)
SSE	13367	9.2%
SSW	11952	8.2%
W	10112	7.0%
SE	9602	6.6%
SW	9486	6.5%
N	9422	6.5%
E	9391	6.5%
S	9302	6.4%
WSW	9231	6.3%
WNW	8455	5.8%
Other values (6)	45139	31.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sse	13367	9.2%
ssw	11952	8.2%
w	10112	7.0%
se	9602	6.6%
sw	9486	6.5%
n	9422	6.5%
e	9391	6.5%
s	9302	6.4%
wsw	9231	6.3%
wnw	8455	5.8%
Other values (6)	45139	31.0%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindGustSpeed
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	531
Distinct (%)	0.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.3943728

Minimum	0
Maximum	135
Zeros	6079
Zeros (%)	4.2%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	15
Q1	30
median	37
Q3	46
95-th percentile	65
Maximum	135
Range	135
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	15.3947337
Coefficient of variation (CV)	0.4009632814
Kurtosis	1.413489566
Mean	38.3943728
Median Absolute Deviation (MAD)	9
Skewness	0.1476515087
Sum	5584845.467
Variance	236.9978258
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
35	9215	6.3%
39	8794	6.0%
31	8428	5.8%
37	8047	5.5%
33	7933	5.5%
41	7369	5.1%
30	7038	4.8%
43	6609	4.5%
28	6478	4.5%
0	6079	4.2%
Other values (521)	69470	47.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6079	4.2%
6	1	< 0.1%
7	19	< 0.1%
9	91	0.1%
11	192	0.1%
13	532	0.4%
15	835	0.6%
17	1387	1.0%
19	1751	1.2%
20	2627	1.8%

Value	Count	Frequency (%)
135	3	< 0.1%
130	1	< 0.1%
126	2	< 0.1%
124	2	< 0.1%
122	3	< 0.1%
120	4	< 0.1%
117	4	< 0.1%
115	5	< 0.1%
113	8	< 0.1%
111	3	< 0.1%

WindDir9am
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

N	12782
SE	10022
NW	9854
SSE	9824
E	9720
Other values (11)	93258

Length

Max length	3
Median length	2
Mean length	2.1833425
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	W
2nd row	NNW
3rd row	W
4th row	SE
5th row	ENE

Common Values

Value	Count	Frequency (%)
N	12782	8.8%
SE	10022	6.9%
NW	9854	6.8%
SSE	9824	6.8%
E	9720	6.7%
S	9263	6.4%
SW	9105	6.3%
W	8865	6.1%
NNE	8826	6.1%
NNW	8633	5.9%
Other values (6)	48566	33.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
n	12782	8.8%
se	10022	6.9%
nw	9854	6.8%
sse	9824	6.8%
e	9720	6.7%
s	9263	6.4%
sw	9105	6.3%
w	8865	6.1%
nne	8826	6.1%
nnw	8633	5.9%
Other values (6)	48566	33.4%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindDir3pm
Categorical

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1.1 MiB

SE	11186
S	10344
W	10327
SSE	10167
WSW	9616
Other values (11)	93820

Length

Max length	3
Median length	2
Mean length	2.207589715
Min length	1

Characters and Unicode

Total characters	0
Distinct characters	0
Distinct categories	0 ?
Distinct scripts	0 ?
Distinct blocks	0 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	WNW
2nd row	WSW
3rd row	WSW
4th row	E
5th row	NW

Common Values

Value	Count	Frequency (%)
SE	11186	7.7%
S	10344	7.1%
W	10327	7.1%
SSE	10167	7.0%
WSW	9616	6.6%
SW	9463	6.5%
NE	9115	6.3%
N	9039	6.2%
WNW	9027	6.2%
NW	8916	6.1%
Other values (6)	48260	33.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
se	11186	7.7%
s	10344	7.1%
w	10327	7.1%
sse	10167	7.0%
wsw	9616	6.6%
sw	9463	6.5%
ne	9115	6.3%
n	9039	6.2%
wnw	9027	6.2%
nw	8916	6.1%
Other values (6)	48260	33.2%

Most occurring characters

Value	Count	Frequency (%)
No values found.

Most occurring categories

Value	Count	Frequency (%)
No values found.

Most frequent character per category

Most occurring scripts

Value	Count	Frequency (%)
No values found.

Most frequent character per script

Most occurring blocks

Value	Count	Frequency (%)
No values found.

Most frequent character per block

WindSpeed9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	294
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	14.02870232

Minimum	0
Maximum	130
Zeros	8745
Zeros (%)	6.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	7
median	13
Q3	19
95-th percentile	30
Maximum	130
Range	130
Interquartile range (IQR)	12

Descriptive statistics

Standard deviation	8.876369629
Coefficient of variation (CV)	0.6327292023
Kurtosis	1.257151095
Mean	14.02870232
Median Absolute Deviation (MAD)	6
Skewness	0.7815160833
Sum	2040615.04
Variance	78.7899378
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
9	13649	9.4%
13	13132	9.0%
11	11728	8.1%
17	10789	7.4%
7	10783	7.4%
15	10625	7.3%
6	9118	6.3%
19	8763	6.0%
0	8745	6.0%
20	8063	5.5%
Other values (284)	40065	27.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8745	6.0%
2	4609	3.2%
4	6360	4.4%
4.223628692	42	< 0.1%
4.381443299	46	< 0.1%
4.738916256	23	< 0.1%
4.761732852	2	< 0.1%
4.866906475	1	< 0.1%
5.470817121	22	< 0.1%
5.5	1	< 0.1%

Value	Count	Frequency (%)
130	1	< 0.1%
87	2	< 0.1%
83	1	< 0.1%
74	4	< 0.1%
72	1	< 0.1%
69	2	< 0.1%
67	4	< 0.1%
65	8	< 0.1%
63	9	< 0.1%
61	11	< 0.1%

WindSpeed3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	295
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.61807112

Minimum	0
Maximum	87
Zeros	1112
Zeros (%)	0.8%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	6
Q1	13
median	19
Q3	24
95-th percentile	33
Maximum	87
Range	87
Interquartile range (IQR)	11

Descriptive statistics

Standard deviation	8.755289705
Coefficient of variation (CV)	0.4702576142
Kurtosis	0.7985550241
Mean	18.61807112
Median Absolute Deviation (MAD)	6
Skewness	0.63601747
Sum	2708184.625
Variance	76.65509782
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	12580	8.6%
17	12539	8.6%
20	11713	8.1%
15	11483	7.9%
19	11263	7.7%
11	10015	6.9%
9	9753	6.7%
24	9052	6.2%
22	8598	5.9%
28	6553	4.5%
Other values (285)	41911	28.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1112	0.8%
2	1034	0.7%
4	2249	1.5%
6	3805	2.6%
6.443877551	68	< 0.1%
7	5903	4.1%
7.062827225	88	0.1%
7.812080537	91	0.1%
8.291666667	1	< 0.1%
8.341708543	49	< 0.1%

Value	Count	Frequency (%)
87	1	< 0.1%
83	2	< 0.1%
78	1	< 0.1%
76	2	< 0.1%
74	1	< 0.1%
72	2	< 0.1%
69	3	< 0.1%
67	1	< 0.1%
65	18	< 0.1%
63	13	< 0.1%

Humidity9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	383
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.96410779

Minimum	0
Maximum	100
Zeros	1
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	34
Q1	57
median	70
Q3	83
95-th percentile	98
Maximum	100
Range	100
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	18.9287766
Coefficient of variation (CV)	0.2744728701
Kurtosis	-0.0120650268
Mean	68.96410779
Median Absolute Deviation (MAD)	13
Skewness	-0.4942214748
Sum	10031519.12
Variance	358.2985835
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
99	3391	2.3%
70	3026	2.1%
69	3023	2.1%
65	3014	2.1%
68	3011	2.1%
71	2976	2.0%
66	2973	2.0%
67	2950	2.0%
74	2917	2.0%
72	2914	2.0%
Other values (373)	115265	79.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1	< 0.1%
1	5	< 0.1%
2	8	< 0.1%
3	10	< 0.1%
4	20	< 0.1%
5	27	< 0.1%
6	37	< 0.1%
7	43	< 0.1%
8	56	< 0.1%
9	71	< 0.1%

Value	Count	Frequency (%)
100	2863	2.0%
99	3391	2.3%
98	2099	1.4%
97	1789	1.2%
96.34351145	3	< 0.1%
96	1609	1.1%
95	1639	1.1%
94.62553191	30	< 0.1%
94.32718894	31	< 0.1%
94	1764	1.2%

Humidity3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	385
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	51.6580643

Minimum	0
Maximum	100
Zeros	4
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	17
Q1	37
median	52
Q3	66
95-th percentile	87
Maximum	100
Range	100
Interquartile range (IQR)	29

Descriptive statistics

Standard deviation	20.62910087
Coefficient of variation (CV)	0.399339409
Kurtosis	-0.4915102985
Mean	51.6580643
Median Absolute Deviation (MAD)	14
Skewness	0.01793314181
Sum	7514182.034
Variance	425.5598026
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
59	2755	1.9%
52	2751	1.9%
55	2738	1.9%
57	2728	1.9%
53	2697	1.9%
58	2643	1.8%
54	2642	1.8%
50	2624	1.8%
51	2621	1.8%
60	2615	1.8%
Other values (375)	118646	81.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	4	< 0.1%
1	26	< 0.1%
2	35	< 0.1%
3	63	< 0.1%
4	113	0.1%
5	157	0.1%
6	242	0.2%
7	303	0.2%
8	422	0.3%
9	481	0.3%

Value	Count	Frequency (%)
100	400	0.3%
99	434	0.3%
98	603	0.4%
97	403	0.3%
96	462	0.3%
95	465	0.3%
94	559	0.4%
93	607	0.4%
92	648	0.4%
91	617	0.4%

Pressure9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	766
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	932.8511547

Minimum	0
Maximum	1041
Zeros	12119
Zeros (%)	8.3%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1011.4
median	1016.8
Q3	1021.8
95-th percentile	1029
Maximum	1041
Range	1041
Interquartile range (IQR)	10.4

Descriptive statistics

Standard deviation	281.3132276
Coefficient of variation (CV)	0.301562823
Kurtosis	7.082532695
Mean	932.8511547
Median Absolute Deviation (MAD)	5.1
Skewness	-3.012462791
Sum	135692529
Variance	79137.13204
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12119	8.3%
1018.4	824	0.6%
1016.4	816	0.6%
1017.9	789	0.5%
1018.7	775	0.5%
1016.3	775	0.5%
1017.3	769	0.5%
1018	769	0.5%
1015.9	768	0.5%
1017.8	766	0.5%
Other values (756)	126290	86.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12119	8.3%
980.5	1	< 0.1%
982	1	< 0.1%
982.2	1	< 0.1%
982.3	1	< 0.1%
982.9	2	< 0.1%
983.7	1	< 0.1%
983.9	1	< 0.1%
984.4	1	< 0.1%
984.6	2	< 0.1%

Value	Count	Frequency (%)
1041	1	< 0.1%
1040.9	1	< 0.1%
1040.6	2	< 0.1%
1040.5	1	< 0.1%
1040.4	3	< 0.1%
1040.3	3	< 0.1%
1040.2	2	< 0.1%
1040.1	3	< 0.1%
1040	1	< 0.1%
1039.9	3	< 0.1%

Pressure3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	768
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	930.6620068

Minimum	0
Maximum	1039.6
Zeros	12119
Zeros (%)	8.3%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1009
median	1014.4
Q3	1019.4
95-th percentile	1026.6
Maximum	1039.6
Range	1039.6
Interquartile range (IQR)	10.4

Descriptive statistics

Standard deviation	280.651877
Coefficient of variation (CV)	0.3015615497
Kurtosis	7.082699164
Mean	930.6620068
Median Absolute Deviation (MAD)	5.2
Skewness	-3.012507883
Sum	135374095.5
Variance	78765.47606
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	12119	8.3%
1015.3	786	0.5%
1015.5	783	0.5%
1015.6	776	0.5%
1015.7	773	0.5%
1013.5	767	0.5%
1015.1	766	0.5%
1015.8	765	0.5%
1015.4	756	0.5%
1016	747	0.5%
Other values (758)	126422	86.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	12119	8.3%
977.1	1	< 0.1%
978.2	1	< 0.1%
979	1	< 0.1%
980.2	2	< 0.1%
981.2	1	< 0.1%
981.4	1	< 0.1%
981.9	1	< 0.1%
982.2	1	< 0.1%
982.6	1	< 0.1%

Value	Count	Frequency (%)
1039.6	1	< 0.1%
1038.9	1	< 0.1%
1038.5	1	< 0.1%
1038.4	1	< 0.1%
1038.2	1	< 0.1%
1038	1	< 0.1%
1037.9	2	< 0.1%
1037.8	2	< 0.1%
1037.7	3	< 0.1%
1037.6	1	< 0.1%

Cloud9am
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	376
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.484322095

Minimum	0
Maximum	9
Zeros	43609
Zeros (%)	30.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3
Q3	6.517857143
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6.517857143

Descriptive statistics

Standard deviation	3.037416689
Coefficient of variation (CV)	0.871738205
Kurtosis	-1.613127793
Mean	3.484322095
Median Absolute Deviation (MAD)	3
Skewness	0.1187009721
Sum	506829.4919
Variance	9.22590014
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	43609	30.0%
7	19972	13.7%
1	15687	10.8%
8	14697	10.1%
6	8171	5.6%
2	6500	4.5%
3	5914	4.1%
5	5591	3.8%
4	4555	3.1%
6.568627451	228	0.2%
Other values (366)	20536	14.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	43609	30.0%
0.6585365854	1	< 0.1%
0.8861788618	1	< 0.1%
1	15687	10.8%
1.307692308	2	< 0.1%
1.37704918	2	< 0.1%
1.558558559	26	< 0.1%
1.610738255	6	< 0.1%
1.647058824	1	< 0.1%
1.85520362	58	< 0.1%

Value	Count	Frequency (%)
9	2	< 0.1%
8	14697	10.1%
7.066666667	68	< 0.1%
7	19972	13.7%
6.877906977	93	0.1%
6.863636364	199	0.1%
6.676056338	84	0.1%
6.62962963	117	0.1%
6.610738255	99	0.1%
6.610169492	220	0.2%

Cloud3pm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	375
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.485523379

Minimum	0
Maximum	9
Zeros	39941
Zeros (%)	27.5%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	3.891402715
Q3	6
95-th percentile	8
Maximum	9
Range	9
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	2.899274516
Coefficient of variation (CV)	0.8318046388
Kurtosis	-1.512925148
Mean	3.485523379
Median Absolute Deviation (MAD)	2.891402715
Skewness	0.09035768589
Sum	507004.2308
Variance	8.405792717
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	39941	27.5%
7	18229	12.5%
1	14976	10.3%
8	12660	8.7%
6	9105	6.3%
2	7226	5.0%
3	6921	4.8%
5	6815	4.7%
4	5322	3.7%
5.5	290	0.2%
Other values (365)	23975	16.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	39941	27.5%
0.5737704918	63	< 0.1%
1	14976	10.3%
1.2	34	< 0.1%
1.486363636	28	< 0.1%
1.947368421	63	< 0.1%
1.952380952	61	< 0.1%
1.971563981	68	< 0.1%
2	7226	5.0%
2.170616114	29	< 0.1%

Value	Count	Frequency (%)
9	1	< 0.1%
8	12660	8.7%
7	18229	12.5%
6.783783784	43	< 0.1%
6.780898876	62	< 0.1%
6.769953052	35	< 0.1%
6.685446009	35	< 0.1%
6.599118943	21	< 0.1%
6.480263158	96	0.1%
6.475177305	124	0.1%

Temp9am
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	665
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.95930913

Minimum	-7.2
Maximum	40.2
Zeros	36
Zeros (%)	< 0.1%
Negative	483
Negative (%)	0.3%
Memory size	1.1 MiB

Quantile statistics

Minimum	-7.2
5-th percentile	6.9
Q1	12.3
median	16.7
Q3	21.5
95-th percentile	28.1
Maximum	40.2
Range	47.4
Interquartile range (IQR)	9.2

Descriptive statistics

Standard deviation	6.493692663
Coefficient of variation (CV)	0.3828984195
Kurtosis	-0.328902681
Mean	16.95930913
Median Absolute Deviation (MAD)	4.6
Skewness	0.08274041082
Sum	2466901.107
Variance	42.1680444
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
17	912	0.6%
13.8	900	0.6%
14.8	894	0.6%
16	882	0.6%
14	876	0.6%
15	867	0.6%
16.6	867	0.6%
16.5	856	0.6%
13	848	0.6%
15.1	846	0.6%
Other values (655)	136712	94.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-7.2	1	< 0.1%
-7	1	< 0.1%
-6.2	1	< 0.1%
-5.9	1	< 0.1%
-5.6	2	< 0.1%
-5.5	2	< 0.1%
-5.3	2	< 0.1%
-5.2	5	< 0.1%
-4.9	1	< 0.1%
-4.8	2	< 0.1%

Value	Count	Frequency (%)
40.2	1	< 0.1%
39.4	1	< 0.1%
39.1	1	< 0.1%
39	1	< 0.1%
38.9	1	< 0.1%
38.6	1	< 0.1%
38.3	1	< 0.1%
38.2	1	< 0.1%
38	1	< 0.1%
37.9	1	< 0.1%

Temp3pm
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	719
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.70650748

Minimum	-5.4
Maximum	46.7
Zeros	17
Zeros (%)	< 0.1%
Negative	180
Negative (%)	0.1%
Memory size	1.1 MiB

Quantile statistics

Minimum	-5.4
5-th percentile	11.5
Q1	16.6
median	21.1
Q3	26.4
95-th percentile	33.8
Maximum	46.7
Range	52.1
Interquartile range (IQR)	9.8

Descriptive statistics

Standard deviation	6.954928935
Coefficient of variation (CV)	0.3204075525
Kurtosis	-0.1286105583
Mean	21.70650748
Median Absolute Deviation (MAD)	4.8
Skewness	0.2289458072
Sum	3157428.578
Variance	48.37103649
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20	882	0.6%
18.5	869	0.6%
19	869	0.6%
18.4	868	0.6%
17.8	859	0.6%
19.4	840	0.6%
19.2	839	0.6%
18	839	0.6%
17	834	0.6%
19.3	833	0.6%
Other values (709)	136928	94.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-5.4	1	< 0.1%
-5.1	1	< 0.1%
-4.4	1	< 0.1%
-4.2	1	< 0.1%
-4.1	1	< 0.1%
-4	1	< 0.1%
-3.9	2	< 0.1%
-3.8	1	< 0.1%
-3.7	3	< 0.1%
-3.5	3	< 0.1%

Value	Count	Frequency (%)
46.7	1	< 0.1%
46.2	1	< 0.1%
46.1	3	< 0.1%
45.9	1	< 0.1%
45.8	2	< 0.1%
45.4	1	< 0.1%
45.3	2	< 0.1%
45.2	2	< 0.1%
45	1	< 0.1%
44.9	1	< 0.1%

RainToday
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	142.2 KiB

False	111713
True	33747

Common Values
Chart

Value	Count	Frequency (%)
False	111713	76.8%
True	33747	23.2%

RainTomorrow
Boolean

HIGH CORRELATION
MISSING

Distinct	2
Distinct (%)	< 0.1%
Missing	3267
Missing (%)	2.2%
Memory size	284.2 KiB

False	110316
True	31877
(Missing)	3267

Common Values
Chart

Value	Count	Frequency (%)
False	110316	75.8%
True	31877	21.9%
(Missing)	3267	2.2%

Year
Real number (ℝ_≥0)

Distinct	11
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2012.769751

Minimum	2007
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	2007
5-th percentile	2009
Q1	2011
median	2013
Q3	2015
95-th percentile	2017
Maximum	2017
Range	10
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	2.537683738
Coefficient of variation (CV)	0.00126079187
Kurtosis	-1.180677648
Mean	2012.769751
Median Absolute Deviation (MAD)	2
Skewness	-0.04935666893
Sum	292777488
Variance	6.439838752
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=11)

Value	Count	Frequency (%)
2016	17934	12.3%
2014	17885	12.3%
2015	17885	12.3%
2009	16789	11.5%
2010	16782	11.5%
2013	16415	11.3%
2012	15409	10.6%
2011	15407	10.6%
2017	8623	5.9%
2008	2270	1.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2007	61	< 0.1%
2008	2270	1.6%
2009	16789	11.5%
2010	16782	11.5%
2011	15407	10.6%
2012	15409	10.6%
2013	16415	11.3%
2014	17885	12.3%
2015	17885	12.3%
2016	17934	12.3%

Value	Count	Frequency (%)
2017	8623	5.9%
2016	17934	12.3%
2015	17885	12.3%
2014	17885	12.3%
2013	16415	11.3%
2012	15409	10.6%
2011	15407	10.6%
2010	16782	11.5%
2009	16789	11.5%
2008	2270	1.6%

Month
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.399615014

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1.1 MiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	6
Q3	9
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.427261608
Coefficient of variation (CV)	0.5355418412
Kurtosis	-1.191879728
Mean	6.399615014
Median Absolute Deviation (MAD)	3
Skewness	0.03034286711
Sum	930888
Variance	11.74612213
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	13361	9.2%
5	13353	9.2%
1	13236	9.1%
6	12684	8.7%
8	12028	8.3%
10	12028	8.3%
7	12025	8.3%
11	11669	8.0%
9	11640	8.0%
4	11550	7.9%
Other values (2)	21886	15.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	13236	9.1%
2	10793	7.4%
3	13361	9.2%
4	11550	7.9%
5	13353	9.2%
6	12684	8.7%
7	12025	8.3%
8	12028	8.3%
9	11640	8.0%
10	12028	8.3%

Value	Count	Frequency (%)
12	11093	7.6%
11	11669	8.0%
10	12028	8.3%
9	11640	8.0%
8	12028	8.3%
7	12025	8.3%
6	12684	8.7%
5	13353	9.2%
4	11550	7.9%
3	13361	9.2%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Location	MinTemp	MaxTemp	Rainfall	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow	Year	Month
0	Albury	13.4	22.9	0.6	W	44.0	W	WNW	20.0	24.0	71.0	22.0	1007.7	1007.1	8.000000	4.901099	16.9	21.8	No	No	2008	12
1	Albury	7.4	25.1	0.0	WNW	44.0	NNW	WSW	4.0	22.0	44.0	25.0	1010.6	1007.8	5.539683	4.901099	17.2	24.3	No	No	2008	12
2	Albury	12.9	25.7	0.0	WSW	46.0	W	WSW	19.0	26.0	38.0	30.0	1007.6	1008.7	5.539683	2.000000	21.0	23.2	No	No	2008	12
3	Albury	9.2	28.0	0.0	NE	24.0	SE	E	11.0	9.0	45.0	16.0	1017.6	1012.8	5.539683	4.901099	18.1	26.5	No	No	2008	12
4	Albury	17.5	32.3	1.0	W	41.0	ENE	NW	7.0	20.0	82.0	33.0	1010.8	1006.0	7.000000	8.000000	17.8	29.7	No	No	2008	12
5	Albury	14.6	29.7	0.2	WNW	56.0	W	W	19.0	24.0	55.0	23.0	1009.2	1005.4	5.539683	4.901099	20.6	28.9	No	No	2008	12
6	Albury	14.3	25.0	0.0	W	50.0	SW	W	20.0	24.0	49.0	19.0	1009.6	1008.2	1.000000	4.901099	18.1	24.6	No	No	2008	12
7	Albury	7.7	26.7	0.0	W	35.0	SSE	W	6.0	17.0	48.0	19.0	1013.4	1010.1	5.539683	4.901099	16.3	25.5	No	No	2008	12
8	Albury	9.7	31.9	0.0	NNW	80.0	SE	NW	7.0	28.0	42.0	9.0	1008.9	1003.6	5.539683	4.901099	18.3	30.2	No	Yes	2008	12
9	Albury	13.1	30.1	1.4	W	28.0	S	SSE	15.0	11.0	58.0	27.0	1007.0	1005.7	5.539683	4.901099	20.1	28.2	Yes	No	2008	12

Last rows

	Location	MinTemp	MaxTemp	WindGustDir	WindGustSpeed	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Pressure9am	Pressure3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow	Year	Month
145450	Uluru	5.2	24.300000	E	24.000000	SE	E	11.0	11.0	53.0	24.0	1023.8	1020.0	5.714286	4.5	12.3	23.3	No	No	2017	6
145451	Uluru	6.4	23.400000	ESE	31.000000	S	ESE	15.0	17.0	53.0	25.0	1025.8	1023.0	5.714286	4.5	11.2	23.1	No	No	2017	6
145452	Uluru	8.0	20.700000	ESE	41.000000	SE	E	19.0	26.0	56.0	32.0	1028.1	1024.3	5.714286	7.0	11.6	20.0	No	No	2017	6
145453	Uluru	7.4	20.600000	E	35.000000	ESE	E	15.0	17.0	63.0	33.0	1027.2	1023.3	5.714286	4.5	11.0	20.3	No	No	2017	6
145454	Uluru	3.5	21.800000	E	31.000000	ESE	E	15.0	13.0	59.0	27.0	1024.7	1021.2	5.714286	4.5	9.4	20.9	No	No	2017	6
145455	Uluru	2.8	23.400000	E	31.000000	SE	ENE	13.0	11.0	51.0	24.0	1024.6	1020.3	5.714286	4.5	10.1	22.4	No	No	2017	6
145456	Uluru	3.6	25.300000	NNW	22.000000	SE	N	13.0	9.0	56.0	21.0	1023.5	1019.1	5.714286	4.5	10.9	24.5	No	No	2017	6
145457	Uluru	5.4	26.900000	N	37.000000	SE	WNW	9.0	9.0	53.0	24.0	1021.0	1016.8	5.714286	4.5	12.5	26.1	No	No	2017	6
145458	Uluru	7.8	27.000000	SE	28.000000	SSE	N	13.0	7.0	51.0	24.0	1019.4	1016.5	3.000000	2.0	15.1	26.0	No	No	2017	6
145459	Uluru	14.9	20.225694	NaN	33.923077	ESE	ESE	17.0	17.0	62.0	36.0	1020.2	1017.9	8.000000	8.0	15.0	20.9	No	NaN	2017	6

Most frequently occurring

	Location	MinTemp	MaxTemp	WindGustDir	WindDir9am	WindDir3pm	WindSpeed9am	WindSpeed3pm	Humidity9am	Humidity3pm	Cloud9am	Cloud3pm	Temp9am	Temp3pm	RainToday	RainTomorrow	Year	Month	# duplicates
3	Newcastle	13.095794	25.022727	SSW	NE	NE	6.636364	12.564103	67.221719	51.229299	3.840909	3.878981	18.656109	22.994904	No	No	2010	10	12
4	Newcastle	17.792208	27.233333	SSW	N	NE	4.223629	10.313514	79.651452	59.575269	4.438017	4.441489	21.165975	25.883511	No	No	2016	3	7
1	Newcastle	10.720588	21.318217	SSW	NW	NW	5.470817	7.062827	77.708171	59.385417	3.980392	4.583333	14.948249	19.444271	No	No	2010	5	5
2	Newcastle	10.755140	22.772273	SSW	SW	NW	7.600000	12.579618	65.022727	47.668790	3.153846	3.305732	16.984615	21.657325	No	No	2009	9	3
5	Newcastle	19.496525	29.564773	SSW	NE	NE	6.988417	13.515625	72.456274	57.806122	4.539924	4.292308	23.801141	27.652551	No	No	2014	1	3
0	Newcastle	9.223144	18.317969	SSW	NW	NE	5.610236	6.443878	80.593750	63.639175	4.250000	4.607143	12.526563	16.636735	No	No	2016	6	2

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Most occurring scripts

Most frequent character per script

Most occurring blocks

Most frequent character per block

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring